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Gpu Engineer Jobs in Raleigh, NC (NOW HIRING)

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If ...

Senior VLSI CAD Software Engineer

Durham, NC · On-site

$118K - $156K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is seeking a talented Software Engineer to join our small team building custom, high-impact ...

Quality Engineer

Durham, NC · On-site

$70 - $100/hr

Work closely with supply chain, engineering, and operations teams to improve refurbishment ... Strong understanding of GPU architecture, server hardware, and diagnostic testing. * Experience ...

Rendering Engineer

Raleigh, NC · On-site

$136K - $168K/yr

... GPU and CPU rendering performance, identifying bottlenecks and driving solutions that maintain high frame rates without sacrificing visual quality • Contribute to engine-level tooling and editor ...

Job Summary As a Principal Engineer in NetApp's AI BU, you are a senior technical authority ... Hands-on experience with GPU workloads and accelerated computing infrastructure. Compensation: The ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

Showing results 41-60

Gpu Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do gpu engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for gpu engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

How much does a GPU engineer make?

The average salary for a GPU engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in graphics processing, parallel computing, or CUDA programming can earn higher salaries. Compensation may also include bonuses, stock options, and benefits based on the employer and geographic region.

What are popular job titles related to Gpu Engineer jobs in Raleigh, NC?

For Gpu Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Gpu Engineer jobs in Raleigh, NC look for?

The top searched job categories for Gpu Engineer jobs in Raleigh, NC are:

Infographic showing various Gpu Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

Technical Product Marketing, Director - Remote (US)

Mirantis

Raleigh, NC • Remote

Full-time

Posted 4 days ago


Job description

Company Description

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Job Description

Mirantis is looking for a Director of Technical Product Marketing to build the technical marketing function for our Provider business, centered on k0rdent AI Provider Edition, our control plane for GPU infrastructure and distributed AI workloads. This is a founding role. You will build the technical collateral engine from the ground up, establishing Mirantis as a credible authority among NeoClouds, GPU clouds, and telcos.

This is not a corporate marketing role. The ideal candidate is a deeply technical contributor who is hands on with the product: standing up environments, running demos, pressure-testing claims against real deployments, and translating platform capabilities (GPU orchestration, multi-tenancy, bare-metal automation, inference serving, billing and chargeback integration) into materials that win technical evaluations. You will work directly with product management, engineering, product marketing, and the field, and you will sit in deals when the technical narrative decides the outcome.

Responsibilities

  • Create the technical product marketing function for the Provider practice, including persona definitions, collateral roadmap, content standards, and the connection between product capability and sales motion

  • Develop the materials that carry a deal: technical white papers, reference architectures, competitive teardowns, solution briefs, demo environments, evaluation guides, and RFP/RFI response content

  • Directly support pipeline development, partnering with sales and solution architects to convert prospects to opportunities and opportunities to closed business through technical storytelling, demos, and proof-point development

  • Get hands on with k0rdent AI: operate the platform, validate positioning claims against real GPU cluster deployments, and feed what you learn back into messaging and product direction

  • Partner with the product marketing team on launch content, analyst engagement, and campaign narratives; ensure everything the market sees is technically accurate and differentiated

  • Develop competitive intelligence for the Provider segment, tracking hyperscaler on-premises offerings, GPU cloud management platforms, and open source alternatives, and arming the field with battle cards and objection handling

  • Represent Mirantis with customers, prospects, analysts, and ecosystem partners as a credible technical voice on GPU infrastructure, AI cloud economics, and sovereign AI

Qualifications
  • 10+ years in technical product marketing, technical marketing engineering, solutions architecture, or product management for infrastructure software, with at least 3 years in a leadership or function-building role
  • Strong technical fluency across the AI infrastructure stack: Kubernetes, GPU orchestration and scheduling, bare-metal provisioning, multi-tenancy, and inference serving

  • Proven record of producing technical collateral that moved revenue: reference architectures, competitive analyses, technical demos, and evaluation content tied to won deals

  • Ability to run a demo, stand up a proof of concept, and hold a whiteboard session with a customer's infrastructure team without a solutions architect in the room

  • Experience supporting complex enterprise sales cycles, including RFP/RFI responses and technical evaluations, in partnership with field teams

Strongly Preferred:

  • Direct experience marketing or selling to NeoClouds, GPU clouds, telcos, or sovereign cloud operators

  • Working knowledge of GPU infrastructure economics, including capacity monetization, billing and chargeback models, and FinOps for AI workloads

  • Familiarity with the NVIDIA ecosystem (DGX, NVLink, NCCL, NIM) and adjacent technologies such as RDMA fabrics, DPUs, and high-performance storage

  • Background in open source infrastructure communities or developer-facing technical content


Additional Information

What does Mirantis offer you?
- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.


It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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